Parameter Estimation of Multi Frequency-Hopping Signals Based on Atomic Norm

Dong Runze, Guo Ying, Liu Hongguang, Sui Ping, Yang Yinsong
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Abstract

According to the mismatch problem between the dictionary and signals in existing parameter estimation method of multi frequency-hopping signals, a method is proposed to estimate the time-frequency parameters based on atomic norm. Firstly, we define the infinite atom set with established atomic norm minimization model, and then use its dual problem to estimate the signal. Finally, the signal frequency is estimated based on the absolute value of the dual polynomial on the unit circle meanwhile transition moment of the signal is estimated by calculating number of the frequency components. The simulation results show that the algorithm can obtain higher estimation accuracy and performance than the existing algorithms under the condition of multiple frequency hopping signals.
基于原子范数的多跳频信号参数估计
针对现有多跳频信号参数估计方法中字典与信号不匹配的问题,提出了一种基于原子范数的时频参数估计方法。首先用建立的原子范数最小化模型定义无限原子集,然后利用其对偶问题对信号进行估计。最后,根据单位圆上对偶多项式的绝对值估计信号频率,同时通过计算频率分量的个数估计信号的过渡矩。仿真结果表明,在多跳频信号条件下,该算法能获得比现有算法更高的估计精度和性能。
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